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Aperio iQC Software – AI-Powered Whole Slide Imaging Quality Control

From Artifact to Accuracy – Quality Control Where You Need It

Seamlessly integrated with the Aperio GT series of scanners, Aperio iQC software enables rapid detection of six common artifacts and triggers alerts to the scanner console while slides are still on the scanner, ensuring that quality control is embedded directly into the scanning workflow. With intelligent automation, Aperio iQC ensures consistent artifact detection and categorization across tissue types and staining protocols.

The intuitive dashboard enables rapid artifact review, accelerating turnaround times and freeing up skilled personnel for higher-value tasks. Aperio iQC not only enhances operational efficiency but also builds confidence in slide quality — making it a vital tool for modern pathology labs committed to excellence at scale.

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For Research Use Only. Not For Use In Diagnostic Procedures.

Product Features

Still Inspecting Slides by Eye? There’s a Smarter Way.

Traditional quality control (QC) in digital pathology is manual, subjective, and resource intensive. Histotechnicians must visually inspect every whole slide image (WSI) for artifacts like air bubbles, pen marks, and scanning errors—an approach that is time-consuming and prone to variability. These digital and histological artifacts disrupt workflows and compromise accuracy.

The Aperio iQC software module, AI-powered quality control, is designed for the Aperio GT scanner series, and replaces manual QC with fast, automated artifact detection of 6 most frequent quality issues. By identifying issues early, labs can:

  • Reduce WSI review time
  • Reallocate skilled staff to higher-value tasks
  • Improve overall lab efficiency
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Focus Your Efforts Where It Matters Most

Only 5–8% of slides typically have quality issues—yet labs spend an unnecessary amount of time reviewing them. With Aperio iQC, you can stop wasting time on slides that are already fine and start zeroing in on the ones that truly need attention.

25 hrs.*

Average FTE hrs. per DAY spent QC WSI before sending to Pathologist

61-90s*

Time taken to QC each WSI 
(70% reported this time frame)

*Based on a survey of 75 digital pathology users, scanning on average of 1,000 - 1,500 slides per day.

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Female histology lab employee prepares to load a slide rack into the Aperio GT 180 digital pathology slide scanner.

Time-Saving Pathology Workflow Enhancements

  • Designed to minimize the time histotechnicians spend reviewing WSIs, allowing faster turnaround and higher throughput
  • Intuitive color coding to represent the artifacts type, histological or digital
  • Up to 4 scanners per Aperio iQC software module
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Quality Control Where You Need It

Aperio iQC Software automatically checks scanned H&E and IHC slides from connected Aperio GT scanners. Slides are processed within 31 seconds* after scanning, with detected artifacts sent to the Aperio iQC dashboard and scanner console, enabling Histotechnicians to assess the underlying issue before the slide is removed from the scanner. Users can approve or reject the whole slide images and leave comments in the Aperio iQC dashboard for each scan.

*31 second average for a 15mm X 15mm area

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Detected issues are clearly indicated on the scanner console and Aperio iQC dashboard for review.

Visual Intelligence for Smarter Reviews

A centralized dashboard with intuitive visual indicators enables rapid quality assessment, helping technicians identify root causes of tissue and digital errors, empowering labs to implement effective countermeasures.

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Consistent and Standardized WSI Quality Control

Aperio iQC Software delivers measurable value by transforming quality control in digital pathology from a manual, subjective task into a streamlined, automated process.

  • Automatic detection of histological or scanning artifacts
  • Artifacts identified as early in the workflow as possible
  • Reduce time and staff required for quality control
  • Centralized dashboard & visual indicators for rapid review
  • Provision of quality metrics for lab tissue/digital preparation

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